Flight ticket prices can be something hard to guess, today we might see a price, check out the price of the same flight tomorrow, it will be a different story. We might have often heard travelers saying that flight ticket prices are so unpredictable. Here, provided is with prices of flight tickets for various airlines in the year of 2019 and between various cities. The data contains the different flights along with the departure and arrival time of flights. Data also consists the duration and totals stops during every flights. Total rows in data are 10683 along with 11 columns. 4 models have been applied on the dataset after the feature engineering and data preprocessing. Out of linear regression, decision tree, random forests and KNearest Regressor. Out of these, Random forests performed and the besta nd hypertuning is performed on it.

Pandas, Numpy, Matplotlib, Seaborn, Plotly

Python

Jupyter Notebook

Label Encoder, One Hot encoder, Power Transformer, Randomised Search CV, Linear regressor, Decision Tree, Random Forests, KNearest Regressor, Mutual Info classif